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KC Santosh

2 accepted papers

2026

Structured Multi-step Jailbreaking under a Hamiltonian Generative Formulation

ICML 2026poster

Recent work shows that even safety aligned large language models (LLM) can be pushed into unsafe behavior by carefully crafted jailbreak prompts. Existing jailbreaking attack methods often rely on disfluent or incoherent prompts, which limit their success and make them easy to detect. We introduce S…

Cited by 0SourceScholar
2025

Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness

NeurIPS 2025spotlight

Adversarial examples reveal critical vulnerabilities in deep neural networks by exploiting their sensitivity to imperceptible input perturbations. While adversarial training remains the predominant defense strategy, it often incurs significant computational cost and may compromise clean-data accurac…

Cited by 0SourceScholar